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Proceedings Paper

Temperature-modulated fluorescence tomography: modulating tissue temperature using HIFU for high-resolution in vivo fluorescence tomography
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Paper Abstract

Low spatial resolution due to strong tissue scattering is one of the main barriers that prevent the wide-spread use of fluorescence tomography. To overcome this limitation, we previously demonstrated a new technique, temperature modulated fluorescence tomography (TM-FT), which relies on key elements: temperature sensitive ICG loaded pluronic nanocapsules and high intensity focused ultrasound (HIFU), to combine the sensitivity of fluorescence imaging with focused ultrasound resolution. While conventional fluorescence tomography measurements are acquired, the tissue is scanned by a HIFU beam and irradiated to produce a local hot spot, in which the temperature increases nearly 5K. The fluorescence emission signal measured by the optical detectors varies drastically when the hot spot overlays onto the location of the temperature dependent nanocapsules. The small size of the focal spot (~1.4 mm) up to a depth of 6 cm, allows imaging the distribution of these temperature sensitive agents with not only high spatial resolution but also high quantitative accuracy in deep tissue using a proper image reconstruction algorithm. Previously we have demonstrated this technique with a phantom study with nanocapsules sensitive to 20-25°C range. In this work, we will show the first nanocapsules optimized for in vivo animal imaging.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8574, Multimodal Biomedical Imaging VIII, 857405 (13 March 2013); doi: 10.1117/12.2004836
Show Author Affiliations
Tiffany C. Kwong, Univ. of California, Irvine (United States)
Farouk Nouizi, Univ. of California, Irvine (United States)
Yuting Lin, Univ. of California, Irvine (United States)
Uma Sampathkumaran, InnoSense LLC (United States)
Shaaz Ahmed, InnoSense LLC (United States)
Gultekin Gulsen, Univ. of California, Irvine (United States)

Published in SPIE Proceedings Vol. 8574:
Multimodal Biomedical Imaging VIII
Fred S. Azar; Xavier Intes, Editor(s)

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